Data infrastructure cannot be ignored. The data foundation is the chassis of the data application. If the chassis is unstable, the buildings on it cannot be built at all. The value release space contained in data of different magnitudes and types varies widely. Enterprises need to evaluate the priority and internal logic of data collection based on actual business needs. Combined with the logic of user behavior analysis, the first step will focus on the opening of d-Mapping-; the second step will be to collect general data and main process data in the terminal, and collect core-related user data; the third step will collect fine-grained.
More Business data with rich dimensions will mobile number list eventually form an operational mechanism for behavioral data, business data, and user data, and expand the synergistic effect of the data itself. As shown in the figure below, the value of different types of data is divided. The target KPI is generally determined by the company's own business model and business development stage. Some companies call it the first key indicator or the North Star indicator.
The target KPI of most companies is a comprehensive data, such as DAU, which can be disassembled into new New customers are attracted, old customers are active, and lost users return. Under normal circumstances, the target KPI of the enterprise can be set as: the cumulative number of customers, the number of active customers, the number of transaction customers, the number of transaction orders, the total transaction volume, the retention rate, and the repurchase rate.